This paper presents our tool set implementation for scenario-based multithreading of object-oriented realtime models and an accompanying experimental validation. Our tools enable ...
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
— A closed-form model for simulation and analysis of voltage transients caused by single-event upsets (SEUs) in logic circuits is described. A linear RC model, derived using a SP...
In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...
This paper is concerned with the estimation of the directionsof-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. Wh...